1. Pedestrianmovement prediction based on mixed markov-chain model;A Asahara;Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems,2011
2. Deepmove: Predicting human mobility with attentional recurrent networks;J Feng;Proceedings of the 2018 world wide web conference,2018
3. Predicting next whereabouts using deep learning;A P Galarreta;International Conference on Modeling Decisions for Artificial Intelligence,2023
4. Hst-lstm: A hierarchical spatial-temporal long-short term memory network for location prediction;D Kong;IJCAI,2018
5. A hierarchical temporal attentionbased lstm encoder-decoder model for individual mobility prediction;F Li;Neurocomputing,2020